{"id":"https://openalex.org/W34891774","doi":"https://doi.org/10.1109/embc46164.2021.9630109","title":"SINGLE-PARAMETER REGRESSION ANALYSIS COMPUTER-AIDED DESIGN OF SHROUDED PROPELLERS BASED ON MODEL-SERIES DIAGRAMS","display_name":"SINGLE-PARAMETER REGRESSION ANALYSIS COMPUTER-AIDED DESIGN OF SHROUDED PROPELLERS BASED ON MODEL-SERIES DIAGRAMS","publication_year":1988,"publication_date":"1988-01-01","ids":{"openalex":"https://openalex.org/W34891774","doi":"https://doi.org/10.1109/embc46164.2021.9630109","mag":"34891774"},"language":"en","primary_location":{"id":"mag:34891774","is_oa":false,"landing_page_url":"https://trid.trb.org/view/433491","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null},"type":"article","indexed_in":[],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Zizi Zhang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zizi Zhang","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5055545818","display_name":"Han Z. Li","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Han Z. Li","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":true,"cited_by_count":0,"citation_normalized_percentile":{"value":0.0,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"2021","issue":null,"first_page":"2444","last_page":"2450"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10857","display_name":"Advanced Electron Microscopy Techniques and Applications","score":0.7390999794006348,"subfield":{"id":"https://openalex.org/subfields/1315","display_name":"Structural Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},"topics":[{"id":"https://openalex.org/T10857","display_name":"Advanced Electron Microscopy Techniques and Applications","score":0.7390999794006348,"subfield":{"id":"https://openalex.org/subfields/1315","display_name":"Structural Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T12859","display_name":"Cell Image Analysis Techniques","score":0.0560000017285347,"subfield":{"id":"https://openalex.org/subfields/1304","display_name":"Biophysics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10241","display_name":"Functional Brain Connectivity Studies","score":0.024399999529123306,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/series","display_name":"Series (stratigraphy)","score":0.6646287441253662},{"id":"https://openalex.org/keywords/regression-analysis","display_name":"Regression analysis","score":0.5446370244026184},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.44728347659111023},{"id":"https://openalex.org/keywords/time-series","display_name":"Time series","score":0.44463682174682617},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.420675128698349},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.275179922580719},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.2722778916358948},{"id":"https://openalex.org/keywords/geology","display_name":"Geology","score":0.16337084770202637},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.1553466022014618}],"concepts":[{"id":"https://openalex.org/C143724316","wikidata":"https://www.wikidata.org/wiki/Q312468","display_name":"Series (stratigraphy)","level":2,"score":0.6646287441253662},{"id":"https://openalex.org/C152877465","wikidata":"https://www.wikidata.org/wiki/Q208042","display_name":"Regression analysis","level":2,"score":0.5446370244026184},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.44728347659111023},{"id":"https://openalex.org/C151406439","wikidata":"https://www.wikidata.org/wiki/Q186588","display_name":"Time series","level":2,"score":0.44463682174682617},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.420675128698349},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.275179922580719},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.2722778916358948},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.16337084770202637},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.1553466022014618},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"mag:34891774","is_oa":false,"landing_page_url":"https://trid.trb.org/view/433491","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/13","display_name":"Climate action","score":0.4099999964237213}],"awards":[{"id":"https://openalex.org/G1677524397","display_name":null,"funder_award_id":"R24 MH114799","funder_id":"https://openalex.org/F4320337346","funder_display_name":"National Institute of Mental Health"},{"id":"https://openalex.org/G5175844596","display_name":null,"funder_award_id":"R24 MH114785","funder_id":"https://openalex.org/F4320337346","funder_display_name":"National Institute of Mental Health"}],"funders":[{"id":"https://openalex.org/F4320312530","display_name":"Office of the Director of National Intelligence","ror":"https://ror.org/01v3fsc55"},{"id":"https://openalex.org/F4320333051","display_name":"Intelligence Advanced Research Projects Activity","ror":"https://ror.org/01v3fsc55"},{"id":"https://openalex.org/F4320337346","display_name":"National Institute of Mental Health","ror":"https://ror.org/04xeg9z08"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":["https://openalex.org/W1600595998","https://openalex.org/W3133636225","https://openalex.org/W2587690656","https://openalex.org/W3157663594","https://openalex.org/W657219491","https://openalex.org/W3128327074","https://openalex.org/W2745236620","https://openalex.org/W11207609","https://openalex.org/W3156310234","https://openalex.org/W2496726251","https://openalex.org/W3022165164","https://openalex.org/W2896354180","https://openalex.org/W2536634779","https://openalex.org/W2352879874","https://openalex.org/W3131621733","https://openalex.org/W3121044936","https://openalex.org/W1966670314","https://openalex.org/W2883632849","https://openalex.org/W1513227470","https://openalex.org/W3124634940"],"abstract_inverted_index":{"The":[0],"nanoscale":[1],"connectomics":[2],"community":[3,74],"has":[4],"recently":[5],"generated":[6],"automated":[7],"and":[8,17,28,41,43,49,62,82,92,113,117,130,139,159,162,194],"semi-automated":[9],"\"wiring":[10],"diagrams\"":[11],"of":[12,19,46,84,106],"brain":[13],"subregions":[14],"from":[15],"terabytes":[16],"petabytes":[18],"dense":[20,33],"3D":[21,34],"neuroimagery.":[22],"This":[23],"process":[24],"involves":[25],"many":[26],"challenging":[27],"imperfect":[29],"technical":[30],"steps,":[31],"including":[32],"image":[35,39],"segmentation,":[36],"anisotropic":[37],"nonrigid":[38],"alignment":[40],"coregistration,":[42],"pixel":[44],"classification":[45],"each":[47],"neuron":[48],"their":[50],"individual":[51],"synaptic":[52],"connections.":[53],"As":[54],"data":[55,151],"volumes":[56],"continue":[57],"to":[58,77,88,118,156],"grow":[59],"in":[60,132],"size,":[61],"connectome":[63,86,108,124],"generation":[64],"becomes":[65],"increasingly":[66],"commonplace,":[67],"it":[68],"is":[69,75,169],"important":[70],"that":[71],"the":[72,80,104,133,137],"scientific":[73],"able":[76],"rapidly":[78],"assess":[79],"quality":[81,105],"accuracy":[83],"a":[85,107,142,153],"product":[87],"promote":[89],"dataset":[90],"analysis":[91],"reuse.":[93],"In":[94],"this":[95,177],"work,":[96],"we":[97],"share":[98],"our":[99],"scalable":[100],"toolkit":[101],"for":[102,171,183],"assessing":[103],"reconstruction":[109],"via":[110],"targeted":[111],"inquiry":[112],"large-scale":[114],"graph":[115],"analysis,":[116],"provide":[119],"insights":[120],"into":[121,185],"how":[122],"such":[123,174,187],"proofreading":[125],"processes":[126],"may":[127],"be":[128],"improved":[129],"optimized":[131],"future.":[134],"We":[135],"illustrate":[136],"applications":[138],"ecosystem":[140],"on":[141],"recent":[143],"reference":[144],"dataset.Clinical":[145],"relevance-":[146],"Large-scale":[147],"electron":[148],"microscopy":[149],"(EM)":[150],"offers":[152,180],"novel":[154],"opportunity":[155],"characterize":[157],"etiologies":[158],"neurological":[160],"diseases":[161],"conditions":[163],"at":[164],"an":[165],"unprecedented":[166],"scale.":[167],"EM":[168],"useful":[170],"low-level":[172],"analyses":[173],"as":[175,188],"biopsies;":[176],"increased":[178],"scale":[179],"new":[181],"possibilities":[182],"research":[184],"areas":[186],"neural":[189],"networks":[190],"if":[191],"certain":[192],"bottlenecks":[193],"problems":[195],"are":[196],"overcome.":[197]},"counts_by_year":[],"updated_date":"2025-07-29T09:24:07.727647","created_date":"2016-06-24T00:00:00"}